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Clinical Data Management Professional

Novo Nordisk
1+ years
Not Disclosed
Bangalore, India
1 May 20, 2026
Job Description
Job Type: Full Time Education: M.Pharm/B.Pharm or M.Sc. Skills: ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing

Clinical Data Management Professional

Company: Novo Nordisk Global Business Services (GBS)
Department: Research & Development
Category: Data & AI
Location: Bangalore, Karnataka, India


Job Overview

Novo Nordisk is seeking a highly motivated Clinical Data Management Professional to join its Research & Development team. This role offers an exciting opportunity to shape the future of clinical trials by ensuring the quality, integrity, and reliability of clinical data that supports life-changing therapies worldwide.

The selected candidate will manage end-to-end clinical data management activities, coordinate global stakeholders, and drive the successful execution of clinical trial data deliverables from study startup through final database lock and submission.


Key Responsibilities

As a Clinical Data Management Professional, you will:

  • Lead the Data Management (DM) trial team and serve as the primary Data Management point of contact.
  • Co-chair Trial Squad meetings to ensure alignment of cross-functional clinical trial activities.
  • Manage clinical trial data operations, timelines, and project deliverables.
  • Coordinate SDTM, ADaM, and TFL deliverables to support timely database lock and regulatory submissions.
  • Develop and maintain:
    • Data Management Plans (DMP)
    • Data collection strategies
    • Trial-specific documentation
    • Data standards aligned with protocol and regulatory requirements
  • Oversee data management risk processes, including:
    • Risk assessment
    • RACT management
    • Issue identification and resolution
    • Audit and inspection readiness
  • Collaborate with Contract Research Organizations (CROs) and third-party vendors.
  • Provide oversight for outsourced deliverables under the FSO (Functional Service Outsourcing) model.
  • Support protocol development by defining efficient and compliant data collection requirements.
  • Ensure compliance with:
    • ICH-GCP guidelines
    • Global regulatory standards
    • Internal quality processes
    • Clinical trial governance requirements
  • Drive process improvements and contribute to operational excellence in clinical data management.

About the Department

The Research & Development organization at Novo Nordisk focuses on transforming innovative scientific ideas into successful clinical development programs.

By combining:

  • Scientific expertise
  • AI-enabled tools
  • Human clinical insights
  • Operational excellence

the team develops future therapies that improve patient lives worldwide.

Within Clinical Data Management & Programming (CDM&P), you will join a global team responsible for delivering high-quality clinical trial data that enables accurate, evidence-based decision-making throughout drug development.

The department promotes:

  • Innovation
  • Continuous learning
  • Collaboration
  • Process optimization
  • Adoption of advanced digital tools and systems

Required Qualifications

We are looking for candidates with the following qualifications:

Education

  • BSc / MSc in:
    • Information Technology
    • Life Sciences
    • Natural Sciences
    • Clinical Research
    • Biotechnology
    • Pharmacy
    • Equivalent relevant qualification

Experience

  • Minimum 1+ years of experience in:
    • Clinical Data Management
    • Clinical research operations
    • Equivalent data-focused clinical roles
  • Practical understanding of:
    • Clinical trial data lifecycle
    • Clinical data flow processes
    • Database lock procedures
    • Regulatory submission support
  • Experience leading:
    • Clinical trials
    • Small cross-functional projects
    • International/global collaborations

Technical Knowledge

Strong knowledge of:

  • Clinical Data Management processes
  • ICH-GCP guidelines
  • Regulatory compliance requirements
  • SDTM
  • ADaM
  • TFL deliverables
  • Risk management methodologies
  • Data quality assurance
  • Clinical trial documentation standards